Hello, I'm looking for hardware input for a research project I am working on right now. We are looking to create point clouds of medium sized 3d printed objects in an industrial environment to compare against other runs and the input model. I have been researching using depthai in order to try this. I've made point clouds and streamed recordings of point clouds off of an OAK-D Pro so I am reasonably confident in how that part of the software development is going. I've also seen the experiments on syncing two cameras together and generating a composite point cloud. But only two cameras, not four. So what I'm curious about is:
Is there any technical reason I cannot create a single point cloud from four calibrated camera streams?
Is there any example showing the fidelity of a point cloud created using the OAK-D-SR-POE at a close distance?
With the POE model having max 1Gbps data throughput, should I be concerned with saturating that streaming a point cloud to something like ReRun and saving it as a .ply file intermittently?
What level of host computer hardware would you suggest for something like this? I have been happily working with one OAK-D Pro on a Jetson Nano and my Macbook Pro but that's just one camera without a lot of host-side computing. Should I be considering something at the consumer level say an i7/64Gb RAM/4070(or 80) or something more enterprise like a Nvidia A5500 (or better) or even something in their Jetson line?
Thanks for your input!